Research on Intelligent Digital Manufacturing Platform Based on Artificial Intelligence Deep Neural Network
In today’s information age, intelligent manufacturing has become a significant trend of future industrial development. The neural network plays a vital role as the basis of smart manufacturing. This is a kind of intelligent algorithm that can simulate human brain organization, with strong learning ability and computing power, and has achieved remarkable results in the application field; the most typical representative is deep neural network, especially in recent years, an artificial intelligence developed based on deep neural network has entered the application stage, providing a new idea and model for industrial production. Based on this, taking the clothing production process as an example, this paper combined transfer learning and network fine-tuning technology to build a Faster RCNN model based on the ResNet-101 network to realize the positioning and recognition of clothing style map features and create an intelligent generation platform for clothing process flow on this basis.
Authors
- Jun Tong
- Long Ye (ORCID: https://orcid.org/0000-0002-8989-0550)
- Ming Wu (ORCID: https://orcid.org/0000-0002-9542-6332)
- Huijie Han (ORCID: https://orcid.org/0000-0001-9701-5839)
- Zhenguo Wang (ORCID: https://orcid.org/0009-0008-3948-7270)
Institutions
- Zunyi Medical University (CN)
- China Tobacco (CN)
Publication Details
- Journal
- International Journal of Artificial Intelligence Tools
- Published
- 2024-08-30
- DOI
- https://doi.org/10.1142/s0218213024500222
- Citations
- 1
- Primary Topic
- Engineering Technology and Methodologies
- Type
- article
- Field-Weighted Citation Impact
- 0.35